Triple
T7420014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cauchy–Kovalevskaya theorem |
E171220
|
entity |
| Predicate | concernsOrder |
P33657
|
FINISHED |
| Object | finite-order partial differential equations |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: finite-order partial differential equations | Statement: [Cauchy–Kovalevskaya theorem, concernsOrder, finite-order partial differential equations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concernsOrder Context triple: [Cauchy–Kovalevskaya theorem, concernsOrder, finite-order partial differential equations]
-
A.
orderRegardedAs
Indicates that one order is considered or treated as equivalent to, or in the same category as, another order within a given context or system.
-
B.
orderOf
Indicates that one entity is arranged, ranked, or sequenced before or after another according to a specified ordering criterion.
-
C.
ordersBy
Indicates that one entity arranges, sorts, or sequences another entity according to a specified criterion or set of criteria.
-
D.
refersToOrder
chosen
Indicates that one entity makes reference to, or is associated with, a specific order.
-
E.
orderedProtectionBy
Indicates that one entity has formally requested or arranged protective measures to be provided by another entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2ea61248190886e8e55b42ba5f1 |
completed | March 27, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69c6f0345040819094c5756dfa487faf |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:11 p.m.